Noetic Diffusion Theory: A Rhythmic, Geometric Framework for Neural State Reconstruction and Conscious Correlates

Key Points

• To present Noetic Diffusion Theory as a method for reconstructing neural states and understanding conscious correlates.
• Utilized rhythmic and geometric approaches to model neural state trajectories.
• Applied diffusion-style denoising to improve data quality and estimate neural dynamics.
• Investigated the structure, stability, and transitions within latent manifold representations.
• Demonstrated effective reconstruction of neural state trajectories.
• Showed improvements in estimating conscious correlates through denoising techniques.
• Indicated potential for understanding regime transitions in neural activities.